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MLOps yo'l xaritasi

2026-yilda MLOps'ni o'rganish uchun bosqichma-bosqich qo'llanma

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MLOps
Dasturlash asoslari
Ushbu yo'l xaritasini yaratishga yordam bergan Maria Vechtomova'ga rahmat.
LinkedIn profili
Python
Go
Bash
Version Control Systems
Git
GitHub
Tegishli yo'l xaritalari
  • DevOps
  • Backend
  • Machine Learning
  • Python
  • Shell/Bash
  • Inference Engineering yo'l xaritasi
Machine learning asoslari
Data engineering asoslari
Data Pipelines
Data lake'lar va warehouse'lar
Data Ingestion Architecture
Airflow
Spark
Kafka
Flink
MLOps Principles
MLOps Components
Version Control
CI/CD
Orchestration
Experiment Tracking
Data Lineage
Model training va serving
Monitoring va observability
Infrastructure as Code
Ushbu yo'l xaritasining batafsil versiyasini va boshqa shunga o'xshash yo'l xaritalarini toping
roadmap.sh
DevOps yo'l xaritasi
MLOps nima?
SQL
DVC
Terraform
Ansible
KubeFlow
Orchestration
Monitoring va observability
Prometheus
Grafana
TensorFlow
Scikit-learn
PyTorch
MLFlow
CI/CD
Jenkins
GItLab
Deep Learning
Machine Learning
Matematika va statistika
Model Evaluation
O'rganishni davom ettirish uchun quyidagi yo'l xaritalariga o'ting
Python
DevOps
Machine Learning
Edge AI
Jetson
TFLite
PyTorch Mobile
Explainable AI
LIME
SHAP
GitHub Actions
CML
Cloud Computing
AWS / Azure / GCP
Cloud-native ML Services
Containerization
Docker
Kubernetes
Git va GitHub
Machine Learning
Inference Engineering

Yo'l xaritalariQo'llanmalarFAQYouTube

yo'lxaritaroadmap.shasosida

Hamjamiyat tomonidan yaratilgan yo'l xaritalari, eng yaxshi amaliyotlar, loyihalar, maqolalar, manbalar va yo'nalishlar — o'z yo'lingizni tanlash va kasbingizda o'sish uchun.

© yo'lxarita·Shartlar·Maxfiylik·

roadmap.sh

Barcha kontent roadmap.sh loyihasidan olingan (© Kamran Ahmed) va shaxsiy o'rganish uchun o'zbek tiliga tarjima qilinmoqda.

Asl sayt·GitHub

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Yo'l xaritalari, loyihalar va savollarni qidiring